Accelerating molecular modeling applications with graphics processors
University of Illinois Urbana-Champaign · Twitter (United States)
Abstract
Molecular mechanics simulations offer a computational approach to study the behavior of biomolecules at atomic detail, but such simulations are limited in size and timescale by the available computing resources. State-of-the-art graphics processing units (GPUs) can perform over 500 billion arithmetic operations per second, a tremendous computational resource that can now be utilized for general purpose computing as a result of recent advances in GPU hardware and software architecture. In this article, an overview of recent advances in programmable GPUs is presented, with an emphasis on their application to molecular mechanics simulations and the programming techniques required to obtain optimal performance in…
Citation impact
- FWCI
- 21.93
- Percentile
- 100%
- References
- 70
Authors
6- JEJohn E. Stone
University of Illinois Urbana-Champaign
- JCJ. C. Phillips
University of Illinois Urbana-Champaign
- LFLydia Freddolino
University of Illinois Urbana-Champaign
- DJDavid J. Hardy
University of Illinois Urbana-Champaign
- LGLeonardo G. Trabuco
University of Illinois Urbana-Champaign
Topics & keywords
- Computer science
- Computational science
- Graphics
- Molecular dynamics
- General-purpose computing on graphics processing units
- Range (aeronautics)
- Parallel computing
- Coulomb